class_docstr: Delta XYWH BBox coder.
  
  Following the practice in `R-CNN <https://arxiv.org/abs/1311.2524>`_,
  this coder encodes bbox (x1, y1, x2, y2) into delta (dx, dy, dw, dh) and
  decodes delta (dx, dy, dw, dh) back to original bbox (x1, y1, x2, y2).
  
  Args:
      target_means (Sequence[float]): Denormalizing means of target for
          delta coordinates
      target_stds (Sequence[float]): Denormalizing standard deviation of
          target for delta coordinates
      clip_border (bool, optional): Whether clip the objects outside the
          border of the image. Defaults to True.
code: def __init__(
      self,
      target_means=(0.0, 0.0, 0.0, 0.0),
      target_stds=(1.0, 1.0, 1.0, 1.0),
      clip_border=True,
  ):
      super(BaseBBoxCoder, self).__init__()
      self.means = target_means
      self.stds = target_stds
      self.clip_border = clip_border
  
file_path: insightface/detection/scrfd/mmdet/core/bbox/coder/delta_xywh_bbox_coder.py
imports: import numpy
  import torch
  from ..builder import BBOX_CODERS
  from .base_bbox_coder import BaseBBoxCoder
label_desc: Use image node_id 1 to create a new DeltaXYWHBBoxCoder object from inherited base classes: BaseBBoxCoder with example: obj = DeltaXYWHBBoxCoder(target_means, target_stds, clip_border)